kimberly collins san diego state university judith garcia arturo ranfla
DESCRIPTION
Assessment of Perceptual and Objective Quality of Life Indicators in Calexico-Mexicali : Toward a Longitudinal Database for the U.S.- Mexican Border Region. Sergio Peña El Colegio de la Frontera Norte-Cd. Juárez Subhrajit Guhathakurta David Pijawka Edward Sadalla Arizona State University. - PowerPoint PPT PresentationTRANSCRIPT
BORDER OBSERVATORY PROJECT
Assessment of Perceptual and Objective Quality of Life Indicators
in Calexico-Mexicali: Toward a Longitudinal Database
for the U.S.- Mexican Border Region
Kimberly CollinsSan Diego State University
Judith GarciaArturo Ranfla
Universidad Autónoma de Baja California
Sergio PeñaEl Colegio de la Frontera Norte-Cd. Juárez
Subhrajit GuhathakurtaDavid Pijawka
Edward SadallaArizona State University
SCERP Technical Conference, December 5, 2008
Tempe, Arizona
BORDER OBSERVATORY PROJECT
Project Goals and RationaleGoals
Assist borderland decision-makers in finding ways to maintain a satisfactory quality of life and a healthy, sustainable natural environment
Provide critical analysis, currently unavailable, on objective and subjective indicators of quality of life (QoL) at several twin-city border communities on a periodic basis
Rationale An accessible archive of QoL data could be used
to guide policy and business decisions that would have a positive impact on sustainable development in the border region
BORDER OBSERVATORY PROJECT
Objectives
Monitor both objective and subjective QoL indicators
Collect longitudinal data (long-term monitoring)
Provide intuitive and real-time access to this data through web interfaces for decision-makers and scholars
Periodically present timely, intelligent analysis of trends
BORDER OBSERVATORY PROJECT
Accomplishments to Date
Completed surveys for Calexico-Mexicali (2005), El Paso-Juarez and Yuma-San Luis RC regions (2006), and San Diego-Tijuana (2007)
Currently, collecting second set of data for Calexico-Mexicali
Compiled baseline objective data on the Calexico-Mexicali (2005), and El Paso-Juarez and Yuma-San Luis RC regions (2006)
Results have been reported in SCERP report (several presentations and papers are in process)
Web site http://bop.caed.asu.edu established to provide data, results and analysis
BORDER OBSERVATORY PROJECT
Sample Size of Each City Pair
400 surveys in Calexico-Mexicali in 2005 Face-to-face interviews
745 surveys in San Luis/Somerton-San Luis Rio Colorado in 2006 Face-to-face interviews
612 El Paso-Cd. Juarez in 2006 Face-to-face interviews
2000 surveys San Diego-Tijuana in 2007 SD = telephone interviews Tijuana = face-to-face interviews
BORDER OBSERVATORY PROJECT
Chosen QoL Indicators
Community Assets Education Economy, Income, and Jobs Public Safety Housing Environment Transportation Public Services Health Care Emotional Well Being
BORDER OBSERVATORY PROJECT
Demographics of Border Communities, 1990 and 2000
Population 1990 2000 1990 2000 1990 2000 1990 2000 1990 2000 1990 2000Population 18,633 27,109 601,938 784,269 515,342 564,280 798,499 1,218,817 9,494 22,588 110,530 145,006 Percent Change - 4.5% - 3.0% - 9.5% - 52.6% - 137.9% - 31.2%
Density (persons per sq. mile) 4,527 4,372 114 148 n/a 2,263 n/a 10,423 n/a 580 n/a n/a
Place of Birth
Native Born Country 52.6% 48.8% 96.0% 91.8% 76.6% 73.9% 94.6% 90.9% 41.2% 50.7% 95.3% 95.9%Born in Other State (Domestic Migrant) n/a n/a 35.0% 31.4% n/a n/a 28.6% 32.0% n/a n/a 37.2% 39.4%
Foreign Born 47.4% 51.2% 1.6% 2.0% 23.4% 26.1% 2.1% 2.6% 58.8% 49.3% 2.3% 3.2%Not Specified 0.0% 0.0% 2.4% 6.2% 0.0% 0.0% 3.4% 6.5% 0.0% 0.0% 2.4% 0.9%
Source: U.S. Census, Census 1990 and 2000 and INEGI, Censo 1990 and 2000.
El Paso Cd. Juarez Som/ SL, AZ SLRCCalexico Mexicali
BORDER OBSERVATORY PROJECT
LOCAL GOVERNMENT
SUBJECTIVE
OBJECTIVE
Local government revenue per capita
BORDER OBSERVATORY PROJECT
CONCLUSIONS ABOUT COMPARING OBJECTIVE AND SUBJECTIVE INDICATORS
Comparing the demographics of the cities and overall perception of quality of life Ciudad Juárez has the poorest subjective rating among
all of the cities and the highest growth rate in population and could be worse now.
A comparison of the subjective and objective data provides differing conclusions There is a mismatch between the objective data and
subjective data – this can be for many differing reasons• Problems with the objective datasets • Need to conduct further analysis of the data to understand
possible correlations• The lag between the objective and subjective data collection
(Rinkevicius)• As seen in the risk management theory, it is difficult to see
the problems when you become accustomed to the risk (Slovic, Kaspersen)
BORDER OBSERVATORY PROJECT
FUTURE OUTLOOK Continue to develop the longitudinal data base for
the entire border region (twin-city urban communities)
Reconcile the objective and subjective indicators through statistical analysis and theory
Develop articles for publication
Develop decision tools to inform policies with the help of QoL indicators
Establish relationships with and feedback mechanisms from local officials and citizen groups, policy organizations and environmental agencies